Abstract:Research purposes: In order to master the characteristics of track irregularity of heavy haul railways, data preprocessing and digital characteristics analysis were carried out based on measured data of track irregularity on heavy haul railways. The different types of irregularity spectrum of heavy haul railways were estimated by Welch method. A uniform fitting model was proposed to characterize the spectrum characteristics of track irregularity, Levenberg-Marquart algorithm was used to fit track vertical profile, alignment, cross-level and gauge irregularity spectrums of heavy haul railway, and the average spectral fitting parameters were obtained. The fitting spectrums of track irregularities of heavy haul railway were compared with those of existing track irregularity spectrum. Research conclusions: (1) The track irregularity data of heavy haul railway has a stationary characteristic and basically obeys normal distribution. (2) The track geometry state of heavy haul railways analyzed is generally good, and the periodic wavelength components of different track irregularity spectrum are different, but all contain periodic wavelength components of 1.90 m and 1.15 m. (3) The track vertical profile, alignment and cross-level irregularity spectrums fitted are roughly the same as German low interference spectrum, while the gauge irregularity spectrum is generally worse than German high interference spectrum. (4) The research results can provide theoretical reference for the wheel-rail dynamic simulation analysis and maintenance management of heavy haul railways in China.
高建敏, 赖思成. 重载铁路轨道不平顺谱构建与分析[J]. 铁道工程学报, 2022, 39(3): 32-39.
GAO Jianmin, LAI Sicheng. Construction and Analysis of Track Irregularity Spectrum of Heavy Haul Railway. Journal of Railway Engineering Society, 2022, 39(3): 32-39.
田国英,高建敏,赵春发. 铁路轨道不平顺谱研究进展[J]. 铁道工程学报, 2016(9):35-40.Tian Guoying,Gao Jianmin, Zhao Chunfa. Progress in the Research on the Railway Track Irregularity Power Spectral Density[J]. Journal of Railway Engineering Society, 2016(9):35-40.
[2]
TB/T 3352—2014,高速铁路无砟轨道不平顺谱[S].TB/T 3352—2014,PSD of Ballastless Track Irregularities of High-speed Railway[S].
[3]
Q/CR 508—2016,高速铁路有砟轨道不平顺谱[S].Q/CR 508—2016,PSD of Ballast Track Irregularities of High-speed Railway[S].
[4]
徐磊,陈宪麦,李晓健,等. 朔黄重载铁路轨道不平顺谱分析[J]. 中南大学学报:自然科学版,2013(12):5147-5153.Xu Lei, Chen Xianmai, Li Xiaojian, etc. Track Irregularity Spectrum Analysis of Shenchi-Huanghua Heavy Haul Railway[J]. Journal of Central South University:Science and Technology, 2013(12):5147-5153.
[5]
赖思成,高建敏,閤鑫. 基于灰色区间理论的重载铁路轨道质量指数发展预测[J]. 铁道建筑,2020(10):130-133.Lai Sicheng, Gao Jianmin,Ge Xin. Development Prediction of Heavy Haul Railway Track Quality Index Based on Grey Interval Theory[J]. Railway Engineering, 2020(10):130-133.
[6]
王振龙. 时间序列分析[M]. 北京: 中国统计出版社,2000.Wang Zhenlong. Time Series Analysis[M]. Beijing: China Statistics Press, 2000.
[7]
Chong E. K. P., Zak S. H. 最优化导论(第4版)[M]. 孙志强,等,译. 北京: 电子工业出版社,2015.Chong E.K.P., Zak S.H. An Introduction to Optimization(Fourth Edition)[M]. Translated by Sun Zhiqiang,etc. Beijing: Publishing House of Electronics Industry,2015.